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Savvina AI vs SQLer

Savvina AI

savvina.ai

SQLer

daax.ai

Side by side

FigureSavvina AISQLer
Price from€39/mo$199/mo
Free planYesYes
Free trial——
Open source——
WebYesYes
APIYesYes
Self-hostedYes—
Plans published55
Spec score · AI SQL Generators8.0 (#6)7.7 (#12)
PurposeSavvina AI turns plain-English questions into SQL and returns database results within the customer’s own environment.SQLer turns natural-language questions into SQL for relational databases.

Plans

Savvina AI

  • CommunityFree
  • Starter€39 a month
  • Team€249 a month
  • Business€1,299 a month
  • EnterprisePriced on request

Savvina AI pricing →

SQLer

  • FreeFree
  • Lift-Off$199 a month
  • Growth$399 a month
  • Turbo$899 a month
  • CustomPriced on request

SQLer pricing →

In their own words

Savvina AI

Savvina AI turns plain-English questions into SQL and returns database results within the customer’s own environment. It supports follow-up queries, validates SQL as read-only, and adds LIMIT clauses automatically. Results can appear in eight chart types, from bar and line charts to gauges and numeric displays. The product lists 22 data sources, including PostgreSQL, BigQuery, Snowflake, MongoDB, Amazon S3, and Google Cloud Storage. Customers bring their own LLM provider; listed choices include Anthropic, OpenAI, Google, Ollama, OpenRouter, and vLLM. Plans run on customer infrastructure through Docker. Savvina says the LLM receives schema details rather than query results; users can exclude schemas, tables, or columns from prompts, and sensitive values are masked in results. Database passwords and API keys are encrypted at rest. The free Community plan is limited to one user and PostgreSQL and MySQL. Paid plans start at €39/mo, with no free trial. Enterprise pricing is custom and includes multiple deployments and air-gapped licenses.

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SQLer

SQLer turns natural-language questions into SQL for relational databases, giving developers a way to add question-to-query generation to an application. It lists MS SQL, MySQL, PostgreSQL and SQLite. Developers can supply company vocabulary, business rules, schema descriptions and question-to-SQL examples to shape generation. Schema information can be set up through direct connection, GATHERer or manual upload of SQL DDL files, and refreshed as schemas and metadata change. GATHERer runs as a Kubernetes container in the customer's application environment and transfers gathered setup information to SQLer with developer permission. SQLer generates SQL for the customer's application to execute; its product page says results remain in the customer's environment and lists single-tenant security. When a schema spans separate databases, separate queries are required for each database. DaaX reports 96% equivalence to expert-written SQL on a customer benchmark of 300 production queries. SQLer is available through web and API platforms. Its free plan includes 50 NL2SQL queries per month; paid plans start at $199 a month for 2,500 monthly queries.

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